@inproceedings{f90d48d4f60946a9aa9b94189c1d7029,
title = "BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention",
abstract = "Chronic alcohol consumption has become one of the major concerns of the society in the sector of public health. The death toll due to excessive consumption of alcohol is increasing exponentially. Face-To-face interaction to create awareness and to stymie the consumption of alcohol is a quixotic solution. Alcohol relapse remains a challenging problem in disorders associated with alcohol addiction which is related to spatial-Temporal factors like periods and specific places. In this paper, a new generation of relapse prevention mobile application called 'BeSober' is proposed. It assists users to develop abstemious habits in drinking, providing support within the intervention period, tracking risky alcoholic spots, presenting community-based support from alternative users or alcohol addiction therapists, monitoring addict's behaviour and offer personalized recommendations to assist the addict in staying sober.",
author = "Vinay Jayachandra and Rashmi Kesidi and Zhou Yang and Chen Zhang and Zhenhe Pan and Victor Sheng and Fang Jin",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; null ; Conference date: 07-12-2020 Through 10-12-2020",
year = "2020",
month = dec,
day = "7",
doi = "10.1109/ASONAM49781.2020.9381364",
language = "English",
series = "Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "944--947",
editor = "Martin Atzmuller and Michele Coscia and Rokia Missaoui",
booktitle = "Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020",
}